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Senior Data Engineer – Platform Data Science & Engineering 74 views

They are looking for a Senior Data Engineer to build reliable, distributed data pipelines and intuitive data products that allow their stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka & others to build insightful, scalable, and robust data pipelines.

The ideal candidate will have a strong background in distributed data processing, have great and demonstrable data intuition, and share their passion for continuously improving the ways they use data to make the Netflix infrastructure better.
Los Gatos, California Product Data Science, and Engineering Senior Data Engineer – Platform Data Science & Engineering Netflix is enjoyed by more than 160 million households globally, entertaining new audiences every day. Netflix’s cloud platforms and internal tools play a key role in making the Netflix experience great. They are one of the pioneers of leveraging a highly scalable cloud footprint to deliver delightful experiences to their members worldwide. The Platform Data Science and Engineering team leads the analytic innovation that enables architecting secure, scalable, and efficient platforms. They partner with their internal platform engineering teams and empower them through intelligent analytic products and integrated models that enable smarter decision making. They are looking for a Senior Data Engineer to build reliable, distributed data pipelines and intuitive data products that allow their stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka & others to build insightful, scalable, and robust data pipelines. The ideal candidate will have a strong background in distributed data processing, have great and demonstrable data intuition, and share their passion for continuously improving the ways they use data to make the Netflix infrastructure better.

  • Passionate about intuitive data models and an expert in distributed data processing patterns
  • Highly proficient in at least one of Java, Python or Scala
  • Comfortable with complex SQL
  • Expert in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink, etc…) on large scale data sets demonstrated through years of experience
  • Understand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, etc
  • Conceptually familiar with AWS cloud resources (S3, EC2, RDS, etc)
  • Excel at taking vague requirements and crystallizing them into scalable data solutions
  • Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks
  • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
  • Develop subject-matter expertise in the cloud platform domain at Netflix
  • Act as a thought partner to the platform engineering team, understand their challenges, and make opinionated recommendations that empower them with data solutions to efficiently scale Netflix infrastructure and tools
  • Maintain and rethink existing datasets and pipelines to service a wider variety of use cases
  • Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc
  • Join a stunning team of data experts with the diverse skill set, and deliver excellent solutions that better enable their decision-making process

A few more things to know their culture is unique and they live by their values, so it’s worth learning more about Netflix at jobs.netflix.com/culture. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.

 

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